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Delete baseball_wiehgted-degree.py

1 -#-*-encoding utf-8 -*-
2 -
3 -import matplotlib.pyplot as plt
4 -import networkx as nx
5 -from openpyxl import load_workbook
6 -
7 -wb = load_workbook("baseball.xlsx")
8 -load_ws = wb['Sheet1']
9 -
10 -
11 -def make_edge(BBlist):
12 - edge_list = []
13 - for i in range(0,len(BBlist)):
14 - for j in range(0, len(BBlist)):
15 - if i == j:
16 - break
17 - else:
18 - edge_list.append((BBlist[i],BBlist[j]))
19 - return edge_list
20 -
21 -BB_name_list = []
22 -BB_Salary_list = []
23 -
24 -for i in range(1,857,1):
25 - school_name='G'+str(i)
26 - player_name='B'+str(i)
27 - name3=(str(load_ws[school_name].value) +','+ str(load_ws[player_name].value)).split(',')
28 - BB_Salary_list.append(int(load_ws['H'+str(i)].value))
29 - BB_name_list.append(name3)
30 -
31 -
32 -edge_list = []
33 -graph_list = []
34 -check_list = []
35 -
36 -for i in range(0,856):
37 - graph = nx.Graph()
38 - edge = make_edge(BB_name_list[i])
39 - if BB_name_list[i] in check_list:
40 - BB_Salary_list[i]=BB_Salary_list[i]+BB_Salary_list[check_list.index(BB_name_list[i])]
41 - BB_Salary_list[check_list.index(BB_name_list[i])]=BB_Salary_list[i]
42 - check_list.append(BB_name_list[i])
43 - else:
44 - check_list.append(BB_name_list[i])
45 -
46 - edge_list.append(edge)
47 - graph.add_nodes_from(BB_name_list[i])
48 - graph.add_edges_from(edge_list[i], weight = BB_Salary_list[i]/10000000000)
49 - graph_list.append(graph)
50 -
51 -
52 -total = nx.Graph()
53 -
54 -for i in range(0,856):
55 - total = nx.compose(total, graph_list[i])
56 -
57 -degree = total.degree()
58 -nx.write_gexf(total, "baseball_wiehgted-degree.gexf")
59 -
60 -options = {
61 - 'edge_color': '#FFDEA2',
62 - 'width': 1,
63 - 'with_labels': True,
64 - 'font_weight': 'regular',
65 -}
66 -
67 -plt.figure(figsize=(20,20))
68 -pos = nx.spring_layout(total, iterations = 10)
69 -nx.draw(total, pos, **options, font_family='batang', font_color='black', font_size=8)
70 -ax = plt.gca()
71 -ax.collections[0].set_edgecolor("#555555")
72 -plt.show()
73 -
74 -